Telecommunications II

MB19.1 A GRASP Heuristic in Solving a Generalized Local Access Network Problem

• Bernard T. Han; Western Michigan University, Dept. of BIS, Kalamazoo, MI 49008; bernard.han@wmich.edu

We present a metaheuristic, GRASP, to solve a generalized LAN problem that considers optimally assigning N users to M capacitated network processors. Each processor is bound to 2 capacity constraints. Computational algorithms and results are presented.

MB19.2 Analyzing the Development of Local Competition in the Ohio Telecommunications Market using Design of Experiment

• Hisham M. Choueiki; PUCO, 180 East Broad St., 3rd Floor, Columbus, OH 43215; hisham.choueiki@puc.state.oh.us

DOE methods will be used to construct an analysis model for assessing the development of local competition in the Ohio telecommunications market. The factor set that we intend to use includes the geographic location of the switching units, their fiber connectivity and the advanced services that each switching unit is capable of providing.

MB19.3 withdrawn - author request of 4/11

• Claudia R. Nunes; Instituto Superior Tecnico, Av. Rovisco Pais, Lisbon, 1049-001 , Portugal; claudia.nunes@math.ist.utl.pt
• Antonio Pacheco; Instituto Superior Tecnico, Av. Rovisco Pais, Lisbon, 1049-001 , Portugal; apacheco@math.ist.utl.pt

MB19.4 Predicting how Telecommunications Ads Affect Customer Values

• Tony Cox; Cox Associates, 503 Franklin St., Denver, CO 80218; tony@cox-associates.com,, http://cox-associates.com/

Advertising and service levels can affect rates at which customers add and drop telecommunications products or vendors. We show how to learn dynamic state-transition models from customer data to describe and predict how ad campaigns and service initiatives affect customer attrition and purchasing behaviors and economic values over time.